6 Reasons you should attend this conference
- Featuring over 50 speakers spread over three days and six streams, Asia’s largest financial data event will be the only data event you need to attend in 2012
- Meet and network with global market and reference data heads from around the world
- An exclusive focus day on how you can reduce your data spend without compromising on your data quality or volume
- Four streams devoted to the latest developments in market and reference data.
- You want to hear from them, we’ve invited them. Financial Data 2012 will contain our first ever pure exchanges stream. Meet your exchanges here.
- Crucial advice on cutting edge technology. How can you achieve best results using cloud technology, multiple data streams and social network sourced data?
What’s new and improved for Financial Data Asia in 2012?
- 100% more content and speakers than last year. Now including reference data streams
- A full focus day on nothing else but how you can continue to innovate whilst reducing your data spend
- More discussions on the major issues: data quality, volume, latency, risk analysis, new technology, multiple data sources, exchange innovation, regulatory developments and so much more
- How can I safely incorporate social networking into my data intake? Best practice techniques on keeping up with new data sources
- Financial Data 2012 will feature more global data heads in attendance than ever before
- One full stream devoted to Asian exchanges: How are they best innovating, dealing with fragmentation, working together and crucially, improving their data services?

Why attend Financial Data Asia 2012?
1 event, two days, 4 streams and over 40 hours of networking and learning. Financial Data 2012 will answer all of your market and reference data needs
Best practice strategies on operating within a reduced data spend environment? What is the real business need of low-latency? In which ways are exchanges redefining themselves for the future and how can they better understand your needs? How can reference data best support real time and accurate risk analysis? What is the business case for cloud technology and so so much more.
